CN107520144A - A kind of "Hami" melon grader based on machine vision technique - Google Patents

A kind of "Hami" melon grader based on machine vision technique Download PDF

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Publication number
CN107520144A
CN107520144A CN201610441380.1A CN201610441380A CN107520144A CN 107520144 A CN107520144 A CN 107520144A CN 201610441380 A CN201610441380 A CN 201610441380A CN 107520144 A CN107520144 A CN 107520144A
Authority
CN
China
Prior art keywords
hami
melon
classification
control module
conveying device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610441380.1A
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Chinese (zh)
Inventor
郭俊先
刘启全
周军
史勇
黄华
刘航
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xinjiang Agricultural University
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Xinjiang Agricultural University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xinjiang Agricultural University filed Critical Xinjiang Agricultural University
Priority to CN201610441380.1A priority Critical patent/CN107520144A/en
Publication of CN107520144A publication Critical patent/CN107520144A/en
Pending legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
    • B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/04—Sorting according to size
    • B07C5/10—Sorting according to size measured by light-responsive means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C2501/00—Sorting according to a characteristic or feature of the articles or material to be sorted
    • B07C2501/009—Sorting of fruit

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Sorting Of Articles (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The present invention devises a kind of "Hami" melon grader based on machine vision technique, and conveying device is made up of sprocket wheel and chain and pallet；Classification mechanism is made up of electromagnet and classification bar, is passed the signal along to by control module on electromagnet, pulls classification bar to rotate pallet to reach classification by electromagnet；Light source is mutually arranged on above conveying device；Line-scan digital camera is located in light-source box, is connected by signal cable with image pick-up card；Microcomputer is connected by LPT interfaces with control module, and control module is connected with the electromagnet on classification mechanism；Reception device is located at the lower section of pallet, is made up of support and panel；"Hami" melon RGB image can be handled in the "Hami" melon image processing software of computer-internal, and control the action of classification mechanism by control module according to result.The present invention by control module synchronized tracking and can realize automatic classification according to surfaces such as "Hami" melon size, color, texture, defects.

Description

A kind of "Hami" melon grader based on machine vision technique
Technical field
The invention belongs to the online Non-Destructive Testing of fruit and sorting technology field, and in particular to one kind is lossless based on machine vision The online classifying equipoment of "Hami" melon of detection technique.
Background technology
"Hami" melon completes production as one of Xinjiang main fruit, its postharvest treatment low SI, generally use manual type After be classified, which not only waste of manpower but also classification efficiency is low, effect is poor, it is impossible to preferably realizes high quality and favourable price, greatly Hinder the development of Chinese national economy and the raising of farmers' income.Mechanical classifying equipoment is mainly by the weight of fruit and big Small two indexs, and can not be classified for surface defect, surface color, texture etc., and the easy damaged fruit in classification process.Machine Device vision technique can effectively ensure the objectivity of detection, and improve classification efficiency and accuracy.
The content of the invention
It is an object of the invention to provide a kind of machinery that automatic classification is realized using programmable logic controller (PLC) synchronized tracking Equipment, and detection process is Non-Destructive Testing.
Technical scheme is as follows：Including conveying device, light-source box, line source, line-scan digital camera, image pick-up card, Microcomputer, control module, proximity switch, classification mechanism, reception device, transmission mechanism, "Hami" melon grader image procossing Software etc.：1）Conveying device is made up of eight sprocket wheels and two chains being looped around on sprocket wheel and 24 pallets；2) Light-source box is in the top of conveying device；3）Line-scan digital camera and line source are located in light-source box, pass through signal cable and IMAQ Card is connected；4）Microcomputer is connected by LPT interfaces with programmable logic controller (PLC), and programmable logic controller (PLC) passes through miniature Relay is connected with classification mechanism；5）Reception device is corresponding with classification mechanism below conveying device；6）In microcomputer Inside is provided with "Hami" melon grader image processing software.
"Hami" melon grader image processing software on microcomputer can be to "Hami" melon RGB image at Reason, the result after processing produce different signals by LPT interfaces and are input in control module, and control module passes through different signals The classification mechanism of appropriate level is controlled, it is achieved thereby that entering according to surfaces such as the size of "Hami" melon, color, texture, defects Row automatic classification.
It is an advantage of the invention that：Control module can be utilized according to surfaces such as "Hami" melon size, color, texture, defects Synchronized tracking realizes the on-line automatic classification of "Hami" melon, and detection process is Non-Destructive Testing.
Brief description of the drawings
Fig. 1 is the structural principle block diagram of the "Hami" melon grader based on machine vision technique.
Fig. 2 is the extension set structural scheme of mechanism of the "Hami" melon grader based on machine vision technique.
Fig. 3 is the image procossing and classification schematic diagram of the "Hami" melon grader based on machine vision technique.
Fig. 4 is the circuit theory diagrams of the "Hami" melon grader control module based on machine vision technique.
Embodiment
The present invention will be further described in detail below in conjunction with the accompanying drawings.
As depicted in figs. 1 and 2, it includes conveying device (1), light-source box (2), line source (3), line-scan digital camera (4), image Capture card (5), microcomputer (6), control module (7), proximity switch (9), classification mechanism (10), reception device (11), biography Motivation structure (12), "Hami" melon grader image processing software etc..Conveying device (1) is to be looped around sprocket wheel by eight sprocket wheels and two On chain and 24 pallets composition；Lighting box (2) is in the top of conveying device (1)；Line-scan digital camera (4) and line source (3) in light-source box (2), it is connected by signal cable with image pick-up card (5)；Microcomputer (6) by LPT interfaces with Control module is connected, and control module is connected by midget relay with classification mechanism (10)；Reception device (11) is in conveying device (1) lower section, it is corresponding with classification mechanism (10)；"Hami" melon grader image processing software is installed inside computer (6).
"Hami" melon grader image processing software on computer (6) can be handled "Hami" melon RGB image, And different pulse signals is produced by LPT interfaces according to result, the grader of appropriate level is transferred to by control module On structure, "Hami" melon is set to carry out automatic classification according to surfaces such as size, color, texture, defects.
During work, "Hami" melon is transported in light-source box (2) by conveying device (1), and "Hami" melon figure is gathered for line-scan digital camera (4) Picture, in the motion process of conveying device 1, proximity switch (9) triggering image pick-up card (5), "Hami" melon is gathered by line-scan digital camera (4) In image input microcomputer (6), image is carried out by the "Hami" melon grader image processing software of microcomputer (6) Reason.Graded signal is input in programmable logic controller (PLC) by microcomputer (6) by result by LPT interfaces.Micro- During type computer (6) processing image, conveying device (1) continues to move ahead, when pallet moves on to classification mechanism (10) on pair soon When answering classification levels, graded signal is also communicated to the classification mechanism of appropriate level by programmable logic controller (PLC), and this is corresponding point Electromagnet (10.1) adhesive classification bar (10.2) in level mechanism (10) opens guide rail breach, and pallet (8) occurs due to gravity Upset, "Hami" melon moment are fallen in reception device 11.
Microcomputer (6) is to "Hami" melon RGB image processing procedure as shown in figure 3, by being carried out to "Hami" melon RGB image Processing, by the characteristic results of processing（The individual event detection of size, color, texture, defect etc.）Classification letter is produced by LPT interfaces Number and be input in programmable logic controller (PLC).Programmable logic controller (PLC) is accordingly classified according to different signal control "Hami" melons The action of mechanism, "Hami" melon is set to be classified accordingly in corresponding rank.
Stage division is：Grading criterion, every point of the "Hami" melon of different stage are formulated according to professional standard and melon grower's experience Level index formulates the graded index value of the standard of one, by "Hami" melon grader image processing software to "Hami" melon RGB image Handled, the result that processing is obtained（The individual event detection of size, color, texture, defect etc.）Compared with desired value Compared with reaching which desired value just belongs to which rank, finally the series of more each rank（Size, color, texture, defect Deng）, the classification levels that take the lowermost level in these ranks to belong to as current fruit.

Claims (3)

1. the present invention is a kind of "Hami" melon grader based on machine vision technique, by conveying device（1）, light-source box（2）, linear light Source（3）, line-scan digital camera（4）, image pick-up card（5）, microcomputer（6）, control module（7）, proximity switch（9）, grader Structure（10）, reception device（11）, transmission mechanism（12）, the part such as image procossing grading software forms: 1）Conveying device is by eight Individual sprocket wheel and two chains being looped around on sprocket wheel and 24 pallets on chain（8）Composition；2) light-source box （2）In conveying device（1）Top；3）Camera（4）And line source（3）Positioned at light-source box（2）It is interior, pass through signal cable and image Capture card（5）It is connected；4）Microcomputer（6）Pass through LPT interfaces and programmable logic controller (PLC)（7）It is connected, FPGA Controller（7）Pass through midget relay and classification mechanism（10）It is connected；5）Reception device（11）In conveying device（1）Lower section, with Classification mechanism（10）It is corresponding；6）In microcomputer（6）Inside, "Hami" melon grader image processing software is installed.
2. the "Hami" melon grader based on machine vision technique according to claim 1, it is characterised in that：Classification mechanism （10）, including electromagnet（10.1）With classification bar（10.2）Composition.
3. the "Hami" melon grader based on machine vision technique according to claim 1, it is characterised in that：Control module （7）, it includes the composition such as programmable logic controller (PLC), relay, triode, Switching Power Supply.
CN201610441380.1A 2016-06-20 2016-06-20 A kind of "Hami" melon grader based on machine vision technique Pending CN107520144A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610441380.1A CN107520144A (en) 2016-06-20 2016-06-20 A kind of "Hami" melon grader based on machine vision technique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610441380.1A CN107520144A (en) 2016-06-20 2016-06-20 A kind of "Hami" melon grader based on machine vision technique

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Publication Number Publication Date
CN107520144A true CN107520144A (en) 2017-12-29

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110773459A (en) * 2019-10-30 2020-02-11 长安大学 Recycled aggregate red brick mechanized separation device based on color recognition technology
CN112058701A (en) * 2020-08-28 2020-12-11 河海大学常州校区 Coal and coal gangue sorting system and method based on polarization imaging
CN112893190A (en) * 2021-01-27 2021-06-04 广东工业大学 Plum sorting machine

Citations (8)

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Publication number Priority date Publication date Assignee Title
EP0267790A2 (en) * 1986-11-12 1988-05-18 Lockwood Graders (U.K.) Limited Method and apparatus for sorting articles
JPH02251281A (en) * 1989-03-22 1990-10-09 Kubota Ltd Fruit sorting apparatus
CN2553907Y (en) * 2002-08-03 2003-06-04 浙江大学 Fruit quality real-time grading control system based on circulation queue control graded
CN1603013A (en) * 2004-11-02 2005-04-06 江苏大学 On-line fruit quality detection and classification apparatus and method based on three camera chains
CN101920245A (en) * 2009-10-27 2010-12-22 华东交通大学 Visible near-infrared spectrum-based fruit brix/acidity online detection and separation production line
CN104056790A (en) * 2013-03-19 2014-09-24 青岛农业大学 Intelligent potato sorting method and apparatus
CN104084384A (en) * 2014-06-16 2014-10-08 石河子大学 Fruit detection classifier
CN105344625A (en) * 2015-11-20 2016-02-24 苏州听毅华自动化设备有限公司 Automatic ball sorting machine

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0267790A2 (en) * 1986-11-12 1988-05-18 Lockwood Graders (U.K.) Limited Method and apparatus for sorting articles
JPH02251281A (en) * 1989-03-22 1990-10-09 Kubota Ltd Fruit sorting apparatus
CN2553907Y (en) * 2002-08-03 2003-06-04 浙江大学 Fruit quality real-time grading control system based on circulation queue control graded
CN1603013A (en) * 2004-11-02 2005-04-06 江苏大学 On-line fruit quality detection and classification apparatus and method based on three camera chains
CN101920245A (en) * 2009-10-27 2010-12-22 华东交通大学 Visible near-infrared spectrum-based fruit brix/acidity online detection and separation production line
CN104056790A (en) * 2013-03-19 2014-09-24 青岛农业大学 Intelligent potato sorting method and apparatus
CN104084384A (en) * 2014-06-16 2014-10-08 石河子大学 Fruit detection classifier
CN105344625A (en) * 2015-11-20 2016-02-24 苏州听毅华自动化设备有限公司 Automatic ball sorting machine

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110773459A (en) * 2019-10-30 2020-02-11 长安大学 Recycled aggregate red brick mechanized separation device based on color recognition technology
CN110773459B (en) * 2019-10-30 2023-09-22 长安大学 Recycled aggregate red brick mechanized separation device based on color recognition technology
CN112058701A (en) * 2020-08-28 2020-12-11 河海大学常州校区 Coal and coal gangue sorting system and method based on polarization imaging
CN112893190A (en) * 2021-01-27 2021-06-04 广东工业大学 Plum sorting machine

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Application publication date: 20171229